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?:abstract
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During data preparation, GLES data is enriched with additional information, such as weighting factors. This technical report provides a general discussion of the computation of weights that was done in the context of the 2009 and 2013 data collection efforts. Further information about the weights can be found in the study descriptions of the respective GLES data sets. The basic idea of providing users with pre-calculated weights was to ensure homogeneity between the different parts of the GLES, while considering the specific context of the different components. For instance, one issue is that it might not be possible to calculate similar weights for studies with different survey modes. This can severely hinder comparison between these two studies, as applying different weights might introduce additional differences between the studies. In the GLES, efforts were taken to use a consistent approach when computing weights for different components. These efforts aim at easing inter-component comparisons by reducing the influence that the use of weights (presumably) has on discrepancies between these components. Furthermore, the calculation of similar weights makes GLES data more readily assessable. In other words, users are required to make less effort to understand how weights were computed for several components of the GLES, as similar methods were applied throughout.
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